DevOps-инженер

Introduction to DevOps

DevOps Principles and Culture: Agile methodologies, importance of collaboration and communication, DevOps lifecycle (Plan, Code, Build, Test, Release, Deploy, Operate, Monitor).

Overview of Key DevOps Tools: Introduction to tools like Jenkins, Ansible, Docker, Kubernetes, Terraform, and monitoring tools like Prometheus and Grafana.

Intermediate Linux and Scripting

Linux Administration Basics: System monitoring commands (top, ps, vmstat), process management, package management (apt, yum), and user management.

Introduction to Shell Scripting: Basics of Bash scripting, writing simple scripts for task automation, cron jobs for scheduling tasks.

Introduction to Version Control with Git

Basics of Version Control Systems: Importance of version control, introduction to Git, Git versus other VCS (e.g., SVN).

Git Operations: Cloning repositories, staging and committing changes, pushing and pulling from remote repositories, branching and merging, resolving merge conflicts.

Node.js Basics

Setting up Node.js Environment: Installing Node.js and npm, understanding the Node.js runtime.

Writing Simple Node.js Scripts for Automation: Basic Node.js syntax, reading and writing files, accessing environment variables, making HTTP requests.

Advanced Node.js

Asynchronous Programming in Node.js: Event loop, callbacks, promises, async/await.

Building CLI Tools with Node.js: Creating command-line applications, parsing arguments, interacting with the file system, npm package development.

Introduction to Docker

Understanding Containers and Docker: Difference between containers and VMs, containerization benefits, Docker architecture.

Basic Docker Commands and Dockerfile Creation: Creating Docker images, running containers, port mapping, Dockerfile syntax, building and pushing images to Docker Hub

Docker Compose and Container Management

Managing Multi-container Applications with Docker Compose: YAML syntax, linking multiple containers, volume management.

Best Practices for Container Management: Container lifecycle management, logging, and monitoring, container security practices.

Networking Basics

Networking Concepts: OSI and TCP/IP models, IP addressing, subnetting, TCP/UDP differences, DNS functioning, HTTP/HTTPS protocols

Basic Network Troubleshooting Tools: Using ping, traceroute, netstat, nslookup/dig, analyzing network traffic.

Advanced Networking Concepts

Deep Dive into Network Protocols and Port Management: Firewalls, NAT, VPNs, SSH

Security Aspects in Networking: Basic cybersecurity concepts, securing network communications, introduction to SSL/TLS

Docker in Depth

Advanced Docker Concepts: Docker networking, storage and volumes, advanced Dockerfile techniques.

Docker in a Production Environment: high availability and scaling, best practices for production deployment.

Introduction to Orchestration with Kubernetes

Basics of Orchestration and Kubernetes: Kubernetes architecture, pods, services, deployments, and replicas.

Deploying a Simple Application on Kubernetes: Setting up a Kubernetes cluster, deploying and managing applications, basic monitoring and logging.

CI/CD Concepts

Fundamentals of CI/CD: Importance of CI/CD in DevOps, pipeline concepts, stages of CI/CD.

Building CI/CD Pipelines with GitHub Actions: Workflow syntax, triggers, jobs, steps, actions, building and testing code.

Advanced CI/CD Strategies

Implementing Advanced Workflows in GitHub Actions: Multi-environment deployments, matrix builds, caching dependencies.

Integration Testing and Deployment Strategies: Automated testing frameworks, blue-green and canary deployments, rolling updates.

Project - Part 1

Project Planning and Implementation: Applying all learned skills to start a comprehensive project. Focus on Git workflows, Node.js scripting, and Docker containerization.

Project - Part 2

Implementing CI/CD Pipelines for the Project with GitHub Actions: Automating build, test, and deploy phases.

Incorporating Kubernetes for Orchestration: Applying networking and Linux skills, deploying the project on a Kubernetes cluster.